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On-line learning in neural networks

On-line learning in neural networks (Loan 1 times)

Material type
단행본
Personal Author
Saad, David.
Title Statement
On-line learning in neural networks / edited by David Saad.
Publication, Distribution, etc
Cambridge, [Eng.] ;   New York :   Cambridge University Press ,   1998.  
Physical Medium
x, 398 p. : ill. ; 24 cm.
Series Statement
Publications of the Newton Institute
ISBN
0521652634 9780521652636
Bibliography, Etc. Note
Includes bibliographical references.
Subject Added Entry-Topical Term
Neural networks (Computer science) Computer networks.
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001 000045531899
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008 981026s1998 enka 000 0 eng
010 ▼a 98031983
020 ▼a 0521652634
020 ▼a 9780521652636
035 ▼a (KERIS)REF000004958882
040 ▼a DLC ▼c DLC ▼d DLC ▼d 211009
042 ▼a pcc
050 0 0 ▼a QA76.87 ▼b .O5 1998
082 0 0 ▼a 006.3/2 ▼2 22
090 ▼a 006.32 ▼b O58
245 0 0 ▼a On-line learning in neural networks / ▼c edited by David Saad.
260 ▼a Cambridge, [Eng.] ; ▼a New York : ▼b Cambridge University Press , ▼c 1998.
300 ▼a x, 398 p. : ▼b ill. ; ▼c 24 cm.
490 1 ▼a Publications of the Newton Institute
504 ▼a Includes bibliographical references.
650 0 ▼a Neural networks (Computer science)
650 0 ▼a Computer networks.
700 1 ▼a Saad, David.
830 0 ▼a Publications of the Newton Institute.
945 ▼a KINS

Holdings Information

No. Location Call Number Accession No. Availability Due Date Make a Reservation Service
No. 1 Location Science & Engineering Library/Sci-Info(Stacks2)/ Call Number 006.32 O58 Accession No. 121184047 Availability Available Due Date Make a Reservation Service B M

Contents information

Table of Contents

Foreword C. Bishop; 1. Introduction D. Saad; 2. On-line learning and stochastic approximations Leon Bottou; 3. Exact and perturbative solutions for the ensemble dynamics Todd Leen; 4. A statistical study of on-line learning Noboru Murata; 5. On-line learning in switching and drifting environments Klaus-Robert Mueller, Andreas Ziehe, Noboru Murata and Shun-ichi Amari; 6. Parameter adaptation in stochastic optimization Luis B. Almeida, Thibault Langlois, Jose D. Amaral and Alexander Plakhov; 7. Optimal on-line learning for multilayer neural networks David Saad and Magnus Rattray; 8. Universal asymptotics in committee machines with tree architecture Mauro Copelli and Nestor Caticha; 9. Incorporating curvature information in on-line learning Magnus Rattray and David Saad; 10. Annealed on-line learning in multilayer networks Siegfried Bos and Shun-ichi Amari; 11. On-line learning of prototypes and principal components Michael Biehl, Ansgar Freking, Matthias Holzer, Georg Reents and Enno Schlosser; 12. On-line learning with time-correlated patterns Tom Heskes and Wim Wiegerinck; 13. On-line learning from finite training sets David Barber and Peter Sollich; 14. Dynamics of supervised learning with restricted training sets Anthony C. C. Coolen and David Saad; 15. On-line learning of a decision boundary with and without queries Yoshiyuki Kabashima and Shigeru Shinomoto; 16. A Bayesian approach to on-line learning Manfred Opper; 17. Optimal perception learning: an on-line Bayesian approach Sara A. Solla and Ole Winther.


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